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Designing
Behavior Change
with IoT.

I create technologies that seamlessly
connect the digital and physical worlds, drawing on
Human-Computer Interaction (HCI) and Human-Food Interaction (HFI).

Using IoT-driven olfactory devices, soft-robotic interfaces, multimodal conversational agents, and large-scale behavioral data, my work explores how subtle sensory and social cues can shape human behavior. My goal is to design calm, intuitive systems that enrich everyday life—guiding people toward healthier habits, meaningful eating experiences, and smarter decision-making without disrupting their natural rhythms.

About Me
Profile Picture

BIOGRAPHY

I am currently enrolled in the Ph.D course at Nara Institute of Science and Technology (NAIST) and Ulm University (Germany). My research focuses on systems that support changes in purchasing behavior and on changing behaviors towards healthier dietary habits. Specifically, I am working on the development of olfactory interfaces to help reduce sugar intake, and voice dialogue systems for food knowledge. I am driven by the goal of realizing smart cities and smart lifestyles through ubiquitous computing.

Education

2023.04 - Present

Ph.D Course of Information Science (Double Degree)

Nara Institute of Science and Technology (Japan) & Ulm University (Germany)

2021.04 - 2023.03

Master of Information Science

Nara Institute of Science and Technology (Japan)

Work Experience

2023.04 - Present

SPRING : Support for Pioneering Research Initiated by the Next Generation

2024.04 - 2025.03

Kuma Foundation, Creators' Scholarship (AI)

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Publications
  • BubblEat: Designing a Bubble-Based Olfactory Delivery for Retronasal Smell in Every Spoonful Daiki Mayumi, Yugo Nakamura, Yuki Matsuda, Keiichi Yasumoto. In Proceedings of the 2025 CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA ’25), pp.1-8, Yokohama, Japan, Apr. 26-May. 1, 2025.[DOI]
  • Aromug: a Mug-type Olfactory Interface to Enhance the Sweetness Perception of Beverages Daiki Mayumi, Yugo Nakamura, Yuki Matsuda, Shinya Misaki, Keiichi Yasumoto. IEEE Access, Vol.12, pp. 78366-78378, 2024.[DOI]
  • Kaolid: a Lid-type Olfactory Interface to Present Retronasal Smell towards Beverage Flavor Augmentation Daiki Mayumi, Yugo Nakamura, Yuki Matsuda, Shinya Misaki, Keiichi Yasumoto. The 13th International Conference on the Internet of Things (IoT'23), pp.1-8, Nagoya, Japan, Nov. 7-10, 2023.[DOI]Best Paper Candidate Award
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Contact

mayumi.daiki.mb9@is.naist.jp